Spectroscopic analyzers such as NIR, Raman, and FTIR have become widely adopted in refinery gasoline blending for real-time quality control and giveaway reduction. While these technologies offer high-frequency data, multi-property analysis, and operational efficiency, many refineries fail to capture their full value due to gaps in expertise, system management, and process integration. This article explores the benefits and common pitfalls of spectroscopic implementation and outlines how structured governance, training, and root-cause analysis can significantly improve analyzer accuracy, reduce quality giveaway, and optimize blending performance for maximum financial return.

Gasoline Blending Optimization using Spectroscopic Analyzing Techniques

The use of spectroscopic analyzing techniques in refinery process control, especially gasoline blending, is a fairly common practice in the industry. The technology to use Near-Infra Red (NIR), RAMAN, or Fourier-Transform Near-Infra Red (FTNIR or FTIR) to fine-tune component ratio, ensure meeting specification and minimize quality giveaway has been around for decades, but is this technology beneficial, and are refineries using it accurately?

Advantages of using Spectroscopic Analyzers in Gasoline Blending

Compared to traditional measurement techniques, spectroscopic analyzers such as NIR/RAMAN have several advantages in gasoline blending:

High data density

Typically 1 data point every 120 – 150 seconds, versus 1 data point every 360 – 1200 seconds of other technologies

Ability to analyze multiple qualities simultaneously

10 or more qualities can be monitored at the same time

Ability to analyze multiple streams together

With the right setup, the same analyzer can monitor process streams and production streams together

Easy to maintain

Mostly filter changes and condition control, with lamp changes once every 6-12 months

With these features available, we have seen an increase in the number of refining operators investing in spectroscopic technology in the recent years, with over 90% of our clients in the past two years using one or more of these instruments to improve their process control.

Spectroscopic Analyzers in Gasoline Blending: Is it working well?

Unfortunately, for most refining operators, the answer is NO.

While the technology looks very attractive, we have often noticed that a refinery’s investment in NIR/RAMAN lacks the complexity and understanding required to fully exploit the potential of these instruments. Spectroscopic measurement techniques utilize chemical principles and advanced statistics, while traditional analyzers rely more on physical principles. As a consequence, these upgraded projects frequently fail to maximize their financial return. In some extreme cases, due to a lack of experience working with spectroscopic analyzers in gasoline blending, the process control capabilities often regress, leading to higher quality giveaway costs for the refinery.

Improving the Accuracy and Reliability of Spectroscopic Analyzers

In the past few years, Trindent has successfully implemented multiple solutions to improve the accuracy and reliability of NIR/RAMAN technology for our clients, especially in the area of gasoline blending optimization. To establish a top-tier NIR/RAMAN management system, followed by a strong gasoline blending program, a refinery should:

  • Create a clear responsibility matrix outlining the ownership of accuracy of the analyzers
  • Develop a comprehensive management system to oversee the analyzer performance
  • Install a clear root-cause analysis framework to identify improvement opportunities
  • Improve training and hence the knowledge of the responsible team

Conclusion

A successful NIR/RAMAN program requires the investment of technology, knowledge development, and active management but the last two pieces are often missing. With these missing links installed, our clients were able to achieve measurement accuracy as good as the primary testing method (PTM) and accomplish top quartile giveaway control comparable to some analyzer programs that comprise of PTM exclusively.


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